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Inefficient Lock-in with Sophisticated and Myopic Players

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  • Aidas Masiliunas

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Path-dependence in coordination games may lead to lock-in on inefficient outcomes, such as adoption of inferior technologies (Arthur, 1989) or inefficient economic institutions (North, 1990). We aim to find conditions under which lock-in is overcome by developing a solution concept that makes ex-ante predictions about the adaptation process following lock-in. We assume that some players are myopic, forming beliefs according to fictitious play, while others are sophisticated, anticipating the learning process of the myopic players. We propose a solution concept based on a Nash equilibrium of the strategies chosen by sophisticated players. Our model predicts that no players would switch from the efficient to the inefficient action, but deviations in the other direction are possible. Three types of equilibria may exist: in the first type lock-in is sustained, while in the other two types lock-in is overcome. We determine the existence conditions for each of these equilibria and show that the equilibria in which lock-in is overcome are more likely and the transition is faster when sophisticated players have a longer planning horizon, or when the history of inefficient coordination is shorter.

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  • Aidas Masiliunas, 2016. "Inefficient Lock-in with Sophisticated and Myopic Players," Working Papers halshs-01304178, HAL.
  • Handle: RePEc:hal:wpaper:halshs-01304178
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01304178
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    Cited by:

    1. Masiliūnas, Aidas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 214-251.

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    More about this item

    Keywords

    game theory; learning; lock-in; farsightedness; coordination;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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